Same entity, different records
Names, identifiers and attributes vary by source. No single system holds the whole picture.
Phantera builds the infrastructure that lets an institution resolve records across systems it doesn’t control the shape of. Phanx proposes the links, shows the evidence and confidence behind each one, and leaves the decision to a named reviewer. Finance first, Nigeria first.
Early-stage. Built in Lagos.
Every signal, weight and conflict is recorded so a reviewer can accept, reject or escalate.
Synthetic example for illustration. Not a product screenshot.
In markets where identity infrastructure is thin, the same customer sits in a core banking system, a newer digital platform and a handful of vendor tools, under slightly different names, numbers and formats. Teams reconcile it by hand, and often don’t get to see why two records were treated as one.
Names, identifiers and attributes vary by source. No single system holds the whole picture.
Look-alike records get merged by mistake while genuine matches stay hidden. A missed link leaves real history invisible. A wrong link attaches one person’s record to another.
Reviewers and auditors need to see why records were linked and what is still uncertain. A number they can’t inspect is a number they can’t sign off.
Phanx builds every decision out of recorded evidence, so confidence is something a reviewer can open, not something they have to accept.
Records from systems you already run.
Every comparison becomes a recorded signal.
Signals support or contradict a proposed link.
Weighted and scored, with confidence stated.
A named reviewer accepts, rejects or escalates.
Where the evidence is weak, Phanx does not merge on its own. It routes the case to a reviewer with the reasoning attached.
Weighted, configurable signals. Conflicts stay visible instead of being averaged away.
Every outcome is designed to trace back to the evidence that produced it. The full audit trail is still in build.
A differing identifier halts resolution rather than being smoothed over.
Schema, signal chain, parametric weighting and conflict handling.
See the evidence, resolve conflicts and keep a record of every decision.
A clean integration path for developers. The relationship graph comes later, once resolution has been validated.
We say this plainly because the worst thing an institution can discover late is that a vendor overstated what it had.
Institutions don’t share infrastructure or governance requirements. Phanx is designed to sit inside the institution’s environment rather than pull records into a shared platform.
Phanx runs inside your environment. Your records don’t pool with anyone else’s.
For teams who want resolution inside their own products and workflows. Where it runs is still being decided.
Before either: a scoped set of records you choose, processed on a machine inside your building under your supervision, with a report back. Scope, access and handling are agreed in writing in advance.
We start in Nigeria because it is where we are and where we can reach institutions directly. It is also a demanding place to prove the product. The problem isn’t Nigerian, and neither is the design.
We’re looking for a small number of institutions to run a scoped evaluation with us. The purpose is to find out whether Phanx is right for your records, before anyone talks about a rollout.
Which records belong to one person or business. The use case comes from your workflow, not ours.
Already-closed cases, or sample or synthetic data, on infrastructure inside your boundary.
Then decide whether a production pilot is worth discussing.
Processing stays inside your environment, and the scope, access and handling of records are agreed in writing before anything starts.
Working on identity, records or data integration? Send a short note on the decision you would want to test.
We read every message and reply personally.
A geologist who spent two years studying why data in fragmented markets won’t connect, and a machine-learning engineer who builds the models.
Geologist by training. Spent two years studying why data in fragmented markets will not connect, and set out the evidence-based approach behind Phanx.
Builds the matching and scoring models. Public work includes a fraud-detection service and applied machine-learning projects.
A geologist reads layers of incomplete, sometimes contradictory evidence to reconstruct what actually happened. Two years studying why data in fragmented markets won’t connect turned up the same pattern inside banks: one person, many systems, and nobody able to show why two records are the same person. Phanx works the way a careful geologist does. It gathers the evidence, weighs it, keeps the conflicts visible, and shows its working.